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Document Visual Question Answering (DocVQA) represents a rapidly advancing field aimed at improving AI’s ability to interpret, analyze, and respond to questions based on complex documents that integrate text, images, tables, and other visual elements. This capability is increasingly valuable in finance, healthcare, and law settings, as it can streamline and support decision-making processes that…
In recent years, there has been significant development in the field of large pre-trained models for learning robot policies. The term “policy representation” here refers to the different ways of interfacing with the decision-making mechanisms of robots, which can potentially facilitate generalization to new tasks and environments. Vision-language-action (VLA) models are pre-trained with large-scale robot…
Decoding One-Hot Encoding: A Beginner’s Guide to Categorical Data | by Vyacheslav Efimov | Nov, 2024
Learning to transform categorical data into a format that a machine learning model can understand When studying machine learning, it is essential to understand the inner workings of the most basic algorithms. Doing so helps in understanding how algorithms operate in popular libraries and frameworks, how to debug them, choose better hyperparameters more easily, and…
Super.AI is an Intelligent Document Processing (IDP) platform that harnesses the power of Large Language Models (LLMs) to extract data from any document with guaranteed accuracy. By offering access to the latest AI models and an on-demand human-in-the-loop (HITL) review through its Data Processing Crowd, Super.AI ensures high-quality results, supporting businesses in generating precise, labeled…
Accurate documentation of diagnoses, treatment histories, and personal health information are all crucial in delivering quality care and ensuring patient safety. Doctors and other medical staff need robust and secure technology to manage patient records effectively in today’s fast-paced healthcare landscape. The technological revolution of data storage, like off-site servers, is one such solution and…
Video generation has rapidly become a focal point in artificial intelligence research, especially in generating temporally consistent, high-fidelity videos. This area involves creating video sequences that maintain visual coherence across frames and preserve details over time. Machine learning models, particularly diffusion transformers (DiTs), have emerged as powerful tools for these tasks, surpassing previous methods like…